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|Title: ||A multiple maximum scatter difference discriminant criterion for facial feature extraction|
|Authors: ||Song, Fengxi|
Zhang, David D.
|Subjects: ||Face recognition|
Linear discriminant criterion
|Issue Date: ||Dec-2007 |
|Citation: ||IEEE Transactions on systems, man, and cybernetics. Part B, Cybernetics, Dec. 2007, v. 37, no. 6, p.1599-1606.|
|Abstract: ||Maximum scatter difference (MSD) discriminant criterion was a recently presented binary discriminant criterion for
pattern classification that utilizes the generalized scatter difference rather than the generalized Rayleigh quotient as a class separability measure, thereby avoiding the singularity problem when
addressing small-sample-size problems. MSD classifiers based on this criterion have been quite effective on face-recognition
tasks, but as they are binary classifiers, they are not as efficient on large-scale classification tasks. To address the problem, this paper generalizes the classification-oriented binary criterion
to its multiple counterpart—multiple MSD (MMSD) discriminant criterion for facial feature extraction. The MMSD feature- extraction method, which is based on this novel discriminant criterion, is a new subspace-based feature-extraction method.
Unlike most other subspace-based feature-extraction methods, the MMSD computes its discriminant vectors from both the range
of the between-class scatter matrix and the null space of the within-class scatter matrix. The MMSD is theoretically elegant
and easy to calculate. Extensive experimental studies conducted on the benchmark database, FERET, show that the MMSD outperforms state-of-the-art facial feature-extraction methods such as null space method, direct linear discriminant analysis (LDA), eigenface, Fisherface, and complete LDA.|
|Rights: ||© 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
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|Type: ||Journal/Magazine Article|
|Appears in Collections:||COMP Journal/Magazine Articles|
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